Papers
1
Total Citations
3
H-Index
1
About
Qijing Yu is a researcher specializing in structural health monitoring and intelligent inspection technologies, with a particular focus on bridge crack detection using machine vision and robotics. Their most-cited work, "Study on a New Bridge Crack Detection Robot Based on Machine Vision" (2012), introduces an innovative robotic system that integrates computer vision algorithms for automated, high-precision identification of surface cracks in bridge structures. This contribution addresses critical challenges in infrastructure maintenance by reducing reliance on manual inspection, improving safety, and enabling early damage detection. Though the paper has garnered 3 citations, its conceptual framework has influenced subsequent developments in autonomous inspection systems for civil engineering. Yu’s research bridges robotics, image processing, and structural engineering, offering practical solutions for aging infrastructure. Their work underscores the potential of combining mechatronics with machine learning to enhance the longevity and safety of transportation networks. As a researcher, Yu continues to explore advanced sensing and automation techniques, contributing to the growing field of smart infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1Study on a New Bridge Crack Detection Robot Based on Machine Vision3 citations · 2012